Practical answers before you apply.

No. Our standard hardware platform is a Mac mini M6, but the service is the out-of-the-box local AI system: installed software, default ChatGPT via OAuth reasoning connection, account setup, workflow setup, documentation, training, and launch support.

The system is built with local AI system installed and configured as the local AI developer environment. ChatGPT via OAuth is configured as the default authorization path for AI reasoning, and clients can later add or change supported API/model connections if their workflow needs them.

For many business owners, ChatGPT via OAuth is the best default local AI connection because it is simple to authorize, predictable to manage, and can use the client's ChatGPT plan features within plan limits. It also avoids rebuilding every workflow around a new API model name or billing setup as subscription features improve. Direct API usage is still useful for certain workflows, but it usually requires more technical configuration, usage-based billing, and more hands-on maintenance as models change.

Yes. ChatGPT via OAuth is the best default for most clients, not the only possible connection. That makes ChatGPT a natural starting point for most local AI system builds. If a business needs Claude API, OpenAI API, or another supported provider for a specific workflow, that connection can be added within the agreed scope.

Our standard hardware recommendation is the Mac mini M6. Display, keyboard, mouse, and other peripherals can be added when needed. Hardware is purchased directly by the client using the exact configuration link and shipping instructions supplied by Local AI Developer, then shipped to us for configuration. Apple inventory and carrier delays can affect timing. Phone carrier/SIM service, paid software subscriptions, API usage, domain/hosting, and unusual procurement requirements are handled separately unless written into the final scope.

The Mac mini gives the business an owned base for workflow memory, project context, examples, local files, approval rules, and connected accounts. Instead of spreading sensitive work across random chat threads and tools, the system is organized around a device and operating setup the business controls.

Models and AI tools will keep changing. A local AI system gives the business a stable place for workflow memory, examples, preferences, files, approval rules, and project context. When a better model or tool is added within scope, it can work from the same approved operating base instead of making the business rebuild its context from scratch.

No. This system can connect to cloud services such as ChatGPT, Gmail, Apple, and Google Workspace when those tools are approved. The value is local ownership and permission management: files, memory, workflows, and authority are organized around the client's Mac mini and rules instead of being left loose across unrelated accounts.

Yes, if the client approves that path and access is handled securely. The preferred setup is dedicated Apple, Gmail, and Google Workspace access so the local AI system has a clean operating environment.

Only access required for the workflows in the agreed scope. The business authorizes each connected account and keeps control of its credentials and permissions. Dedicated accounts are preferred when practical, and a workflow can be staged with limited access before broader permissions are considered.

The system can prepare work, place it in a review queue, and wait for an authorized person to approve the next action. For example, it can draft an email and assemble the supporting context without sending it. The approval rules, responsible person, and allowed actions are documented for each workflow instead of relying on a vague promise that the AI will know when to stop.

Messaging is limited to whatever Apple provides through the configured Apple account, iMessage, and Messages capability. SMS to ordinary phone numbers is not promised unless Apple-supported relay/service conditions are met.

Not by default. External actions should happen only inside approved workflows, with clear permission rules and human approval where the business wants it.

No. The default configuration is no permanent deletion. If cleanup is approved, the system should move files only to a local review/trash folder so the client can manually inspect and delete them.

Common use cases include drafting, summarizing, file organization, email preparation, Google Workspace work, content production, research, intake preparation, document review, follow-up preparation, image/video concepts, and repeatable operational checklists.

The business needs to explain the current workflow, identify the people and accounts involved, approve access, review test output, and complete handoff training. Local AI Developer handles the system build, configuration, workflow documentation, and testing. The goal is to keep owner involvement focused on decisions only the business can make, not turn the implementation into another do-it-yourself technology project.

Before automating a workflow, define a small baseline using measures the business can verify, such as response time, staff minutes per item, missing next steps, turnaround time, or booked appointments. After launch, compare the same measures. The useful question is not whether the AI looks impressive; it is whether the approved workflow saves time, reduces dropped work, or creates more consistent follow-through.

A Local AI Developer build takes approximately 2 weeks from receiving the hardware to build and ship the local AI system. Hardware timing is separate: Apple shipping is currently around 2 weeks, but third-party distributor procurement can often save time. Complex Custom Builds can occasionally take longer when the scope includes deeper integrations, unusual workflows, custom dashboards, website/app work, or extra testing.

Launch support is included within the package terms. Additional support can continue at the current support rate of $100 per hour, subject to change, when the client wants more workflows, fixes, or training.